Academic literature on the topic 'Multi-Tier Supply Chain'
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Journal articles on the topic "Multi-Tier Supply Chain"
Gong, Yu, Fu Jia, Steve Brown, and Lenny Koh. "Supply chain learning of sustainability in multi-tier supply chains." International Journal of Operations & Production Management 38, no. 4 (April 3, 2018): 1061–90. http://dx.doi.org/10.1108/ijopm-05-2017-0306.
Full textM. Tachizawa, Elcio, and Chee Yew Wong. "Towards a theory of multi-tier sustainable supply chains: a systematic literature review." Supply Chain Management: An International Journal 19, no. 5/6 (September 2, 2014): 643–63. http://dx.doi.org/10.1108/scm-02-2014-0070.
Full textWang-Mlynek, Liyuan, and Kai Foerstl. "Barriers to multi-tier supply chain risk management." International Journal of Logistics Management 31, no. 3 (August 6, 2020): 465–87. http://dx.doi.org/10.1108/ijlm-09-2019-0256.
Full textFraser, Iain J., Martin Müller, and Julia Schwarzkopf. "Transparency for Multi-Tier Sustainable Supply Chain Management: A Case Study of a Multi-tier Transparency Approach for SSCM in the Automotive Industry." Sustainability 12, no. 5 (February 28, 2020): 1814. http://dx.doi.org/10.3390/su12051814.
Full textNath, Shobod Deba, and Gabriel Eweje. "Inside the multi-tier supply firm: exploring responses to institutional pressures and challenges for sustainable supply management." International Journal of Operations & Production Management 41, no. 6 (July 15, 2021): 908–41. http://dx.doi.org/10.1108/ijopm-09-2020-0651.
Full textJia, Fu, Yu Gong, and Steve Brown. "Multi-tier sustainable supply chain management: The role of supply chain leadership." International Journal of Production Economics 217 (November 2019): 44–63. http://dx.doi.org/10.1016/j.ijpe.2018.07.022.
Full textKaraer, Özgen, Tim Kraft, and Pınar Yalçın. "Supplier development in a multi-tier supply chain." IISE Transactions 52, no. 4 (October 16, 2019): 464–77. http://dx.doi.org/10.1080/24725854.2019.1659523.
Full textSarkis, Joseph, Ernesto DR Santibanez Gonzalez, and S. C. Lenny Koh. "Effective multi-tier supply chain management for sustainability." International Journal of Production Economics 217 (November 2019): 1–10. http://dx.doi.org/10.1016/j.ijpe.2019.09.014.
Full textKembro, Joakim, and Kostas Selviaridis. "Exploring information sharing in the extended supply chain: an interdependence perspective." Supply Chain Management: An International Journal 20, no. 4 (June 8, 2015): 455–70. http://dx.doi.org/10.1108/scm-07-2014-0252.
Full textYoung, Steven, Shannon Fernandes, and Michael Wood. "Jumping the Chain: How Downstream Manufacturers Engage with Deep Suppliers of Conflict Minerals." Resources 8, no. 1 (January 26, 2019): 26. http://dx.doi.org/10.3390/resources8010026.
Full textDissertations / Theses on the topic "Multi-Tier Supply Chain"
Hillstrom, David (David P. ). "Multi-tier supply chain assessment of garment environmental sustainability." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117965.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-62 ).
Li & Fung is a global, leading trading firm that connects manufacturing vendors with retailers. Li & Fung is responsible for the supply of beauty products, furniture, and apparel, with the majority of sales in the apparel category. Li & Fung has developed strong relationships with a large portion of global retailers and maintains a leading market position in the global garment market. Furthermore, Li & Fung leverages a complex supply chain of over 16,000 partner factories across 40 countries. These factories employ hundreds of thousands of workers who perform the difficult work of producing a variety of garments. This large footprint of factories and employees results in an equally large environmental footprint. Although it is well known that the environmental impact is substantial, with researchers stating that the apparel industry is one of the largest global polluters, it has been difficult to quantify the business impact as a whole, let alone the impact of a single garment. Through this internship, the objective was to quantify the environmental impact of factories and products. This quantification will enhance decision-making and arm the business with a toolset to help factories improve and drive down impact in a targeted manner. Furthermore, these quantifications are manifested in product level footprints and factory metrics calculated with the use of internally generated data and external data. The internal data provided much of the backbone for the analysis and its collection was completed through an internally developed, proprietary tool. External data was then gathered to address information gaps in the supply chain. Together this data formed the basis for Li & Fung's Environmental Assessment Tool. This tool provides potential benefits at all levels of the supply chain. In particular, it allows designers and customers to make informed decisions about product attributes that drive environmental impact, factories to compare their environmental impact against an appropriate peer group and make educated decisions, and Li & Fung to quantify their environmental impact and take steps to address environmental hotspots.
by David Hillstrom.
M.B.A.
S.M.
Batista, Janaina Siegler Marques. "Supply chain turbulence: the impact of a mid-range event in multi-tier, multi-dimension supply chains." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13937.
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This dissertation aims at understanding complex multi-tier, multi-dimension supply chains, investigating why and how an event in a focal firm affects members of its own and other supply chains. To fulfill this goal, two approaches were used, a theoretical and an empirical approach. For the theoretical study, we developed a novel way to look at dissemination of the impact of an event over a supply chain through metaphorical transfer. We built upon the physics of stone skipping, analyzing the correspondence between elements from physics and supply chains at the levels of ontology, analogy, and identity. The main contributions of the theoretical study were the development of six propositions and a model of dissemination of the impact of an event over a supply chain. Second, we applied the propositions using a set of qualitative data collected in the cosmetics industry in Brazil. We conducted 131 semi-structured in-depth interviews and 22 site visits, in addition to observation and analysis of documents. The multiple case studies were based on six complex, multi-tier, multi-dimension supply chains encompassing up to seven tiers each. Within and cross-case analysis were conducted. The results of the empirical study are presented in two parts. First, we analyzed the six supply chains in detail and identified six mid-range events that had impacts beyond the source firm. Second, we tested the propositions from the theoretical part of this study and their application to the identified mid-range events. Our results indicated that, differently from the current literature, supply chains are not linear. In multi-tier, multi-dimension supply chains, the same firm can play different roles according to the supply chain it is part of different times. Thus, supply chains are better portrayed as a set of interlocking networks. Our findings also support viewing a supply chain as a chain of individual relationships. Several elements impact the dissemination of the impact of an event over a supply chain. Among them, power of the source firm and the personal social influence of the individuals in the source firm play a significant role. In addition, because individuals make decisions and implement events, it is important to consider that personal heuristics, biases, and locus of control will be manifested by the individuals in all contexts, both internal (focal firm), and external (supply chin links), and that those human irrationalities will impact the perception of the event and influence the continuity and extent of its impact in the supply chain. Our findings also support the notion that the impact of an event is disseminated over a supply chain through its members’ weak ties.
Esta tese objetivou compreender cadeias de suprimento multi niveis e multi dimensionais, investigando como e porque um evento em uma empresa focal afeta membros de sua propria cadeia de suprimentos e outras cadeias. Para atender este objetivo, duas abordagens foram utilizadas: uma teórica e uma empírica. Para o estudo teórico, desenvolvemos uma nova forma de olhar a disseminação do impacto de um evento na cadeia de suprimentos utilizando transferência metafórica. Nos baseamos na física de pedras que saltam na água, analisando a correspondência dentre os elementos da física e das cadeias de suprimentos nos niveis de ontologia, analogia e identidade. A principal contribuição do estudo teórico reside no desenvolvimento de seis proposições e um modelo para a disseminação do impacto de um evento na cadeia de suprimentos. Em seguida, nós aplicamos tais proposições numa base de dados coletada no setor de cosméticos no Brasil. Foram conduzidas 131 entrevistas em profundidade e 22 visitas à fábricas e unidades de negócio por todo o país. Complementarmente também foram conduzidas observações e análise de documentos secundários. Estudos de casos múltiplos individuais e comparativos foram desenvolvidos baseados em seis cadeias de suprimentos complexas, multi-niveis e multi-dimensionais, que englobaram de cinco a sete niveis cada uma. Os resultados foram apresentados em duas partes. No primeiro, anlisamos as seis cadeias de suprimentos em detalhes e identificamos seis eventos de médio porte que tiveram impactos em suas cadeias de suprimentos além da empresa focal onde foi iniciado. Em seguida, aplicamos as proposições do estudo teórico nos eventos de médio porte identificados. Nosso resultados indicaram que, diferentemente da literatura, cadeias de suprimentos não são lineares. Em condicões reais, a mesma empresa pode representar diferentes papéis de acordo com a cadeia de suprimento que ela é parte em diferentes momentos. Assim, cadeias de suprimentos são melhor representadas como um conjunto de redes interligadas. Nossos achados também suportam a visão de cadeias de suprimentos como uma rede de relações individuais. Vários diferentes elementos influenciam na disseminação do impacto de um evento em uma cadeia de suprimentos, dentre eles, o poder da empresa e a habilidade de influência social dos indivíduos que fazem parte daquela empresa têm papel relevante. Também é importante considerar que irracionalidades pessoais como heurísitcas, vieses, e locus de controle serão manifestados por indivíduos em todos os contextos, interno (empresa focal) e externo (cadeia de suprimentos), e que tais irracionalidades impactam a percepção do evento, a continuidade e extensão de seus impactos na cadeia de suprimentos. Nossos achados ainda suportam a noção de que o impacto de um evento é disseminado na cadeia de suprimentos por meio dos laços fracos construídos pelos membros das organizações.
Ma'Aram, Azanizawati. "An examination of multi-tier supply chain strategy alignment in the food industry." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539499.
Full textKhoo, Chin Won. "The development of a multi-tier supply chain performance measurement system for the automotive industry." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433062.
Full textZhou, Rongyan. "Exploration of opportunities and challenges brought by Industry 4.0 to the global supply chains and the macroeconomy by integrating Artificial Intelligence and more traditional methods." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPAST037.
Full textIndustry 4.0 is a significant shift and a tremendous challenge for every industrial segment, especially for the manufacturing industry that gave birth to the new industrial revolution. The research first uses literature analysis to sort out the literature, and focuses on the use of “core literature extension method” to enumerate the development direction and application status of different fields, which devotes to showing a leading role for theory and practice of industry 4.0. The research then explores the main trend of multi-tier supply in Industry 4.0 by combining machine learning and traditional methods. Next, the research investigates the relationship of industry 4.0 investment and employment to look into the inter-regional dependence of industry 4.0 so as to present a reasonable clustering based on different criteria and make suggestions and analysis of the global supply chain for enterprises and organizations. Furthermore, our analysis system takes a glance at the macroeconomy. The combination of natural language processing in machine learning to classify research topics and traditional literature review to investigate the multi-tier supply chain significantly improves the study's objectivity and lays a solid foundation for further research. Using complex networks and econometrics to analyze the global supply chain and macroeconomic issues enriches the research methodology at the macro and policy level. This research provides analysis and references to researchers, decision-makers, and companies for their strategic decision-making
Li, Chia-chen, and 李嘉鎮. "Developing Optimal Procurement Strategy for Multi-Tier Distributed Supply Chain." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/41112154011306954118.
Full text國立屏東科技大學
工業管理系所
99
With the impact of globalization, supply chain systems are growing in size, business environment is changing rapidly, and rivalry among established companies is intensifying. Under such circumstances, it has become a rather complicated task to manage supply chains. The management of a supply chain covers four major activities, including planning, production, procurement, and distribution. As far as procurement management is concerned, the most critical factors are supplier selection as well as order allocation. After a review of related literatures, we found that prior studies focused their attention solely on order allocation problems encountered by 2-teir centralized supply chains rather than those encountered by multi-tier decentralized ones. For the latter, how to select qualified suppliers, optimize their allocation of order quantities and enhance supply chain performance is much more difficult in that companies within the decentralized supply chains are all independent organizations which make their own decisions without referring to any others. To address the aforementioned problem, this study first adopts the most popular criteria for supplier selection, and based on the criteria, a decision model for companies' order allocation in multi-tier distributed supply chains is further developed. Moreover, to help supply chain companies optimally allocate their orders, an algorithm, modified from the frontier portfolios search, is proposed here. To evaluate the performance of the algorithm, this study carries out three experiments. The experimental results show that the proposed algorithm can enhance supply chain companies' abilities to not only secure orders but also minimize procurement costs in fulfilling orders. The proposed algorithm can be used in the future to implement a multi-agent system for supply chain companies in allocating their orders.
Huang, Yi-Ming, and 黃翊銘. "Applying Bayesian Networks to Diagnose Multi-Tier Supply Chain Disruption Risk." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/39583079196572096366.
Full text國立中興大學
企業管理學系所
104
Due to the globalization of businesses, enterprises are now challenged by more and more potential competitions. In response to such trend, firms start to cooperate with their suppliers more deeply than ever. The competition among individual firms has changed to the one among supply chains.Therefore, supply chain management receives more attention from managers and scholars, specifically in the context of supply chain risk. How firms are able to notice and respond to risk at the earliest time, and realize that their supply chains may be at risk becomes very crucial. By diagnosing the possible factors for risks, firms are able to prevent it in advance. Most previous studies, which applied Bayesian network to diagnose supply chains’ disruption risk, investigate only one level of the supply chain. Our study proposes that if downstream firms are able to spot upstream firms’ disruption risk beforehand, cost could be reduced by responding early. This study uses the public data to establish a multi-level supply chain risk diagnosis model and assumes that the risk deferred from upstream manufacturers completely or partially. Under the assumption of partially deferred during the month of May 2015, the interruption ratio of the supply chain vendors within the sampled company falls on 0.037 on average. When disaster occurs in upstream suppliers, the interruption ratio of sampled company will increase to 0.245~0.298. On the other hand, under the assumption of totally deferred, the interruption ratio of the supply chain vendors within the sampled company falls on 0.046 on average. When disaster occurs in the upstream supplies, the interruption ratio of sampled company will increase to 0.581~0.596. The result reflects how supply chain disruption risk can influence downstream and upstream firms. Furthermore, our model presents the outcome through figures, which allows supply chain managers to spot and respond to problems quickly in order to enhance the efficiency of risk management.
Huang, Hang-Ben, and 黃宏彬. "The Selection Criteria of Logistics Outsourcing under Supply Chain Multi-Tier Structure." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/47796893199833703293.
Full text國立高雄第一科技大學
運輸與倉儲營運系
88
Through logistics outsourcing, enterprises can not only increase their logistics performances, but also may promote the competitiveness of their own supply chain. The main objective of the research is to investigate the differences among supply chain members at different tires when choosing a common third-party logistics service provider, with respect to selection criteira and its importance. The viewpoint about integrated logistics on enterprise’s performance was also examined. The relationship between this impact viewpoint and selection behavior, as well as logistics outsourcing tendency was considered. From literature survey, twenty-one selection criteria were used. They were further categorized into six dimensions: cost, time, quality, management, technology, and physical equipment. The influences of integrated logistics on corporate’s performance were classified as economic-scope, risk, membership, operation-activity, and performance areas. Logistics outsourcing strategies include totally-outsoucing, partially-outsourcing, and no-outsourcing. Data used in the research was collected from questionnaire and expert’s opinions. Two industries, electronics and food, were investigated. According to the research, members at different tiers behave differently in seven criteria in electoronic industry, whereas members behave differently only at three ones in food industry. There was also differences between two industries in the selection decision. As for the relationship between impact viewpoint and selection criteria, the result shows that it is statistically significant. The relationship between impact viewpoint and outsourcing tendency was also found significant.
"Three Essays on Theorizing Supply Chain-Make Versus Supply Chain-Buy." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.44428.
Full textDissertation/Thesis
Doctoral Dissertation Business Administration 2017
Kanyoma, Kizito Elijah. "An evaluation of supply chain integration across multi-tier supply chains of manufacturing-based small and medium enterprises in Malawi." Thesis, 2018. http://hdl.handle.net/1959.13/1395531.
Full textThis thesis investigates the extent of supply chain integration (SCI) and its inhibitors across multi-tier supply chains (SCs) of manufacturing-based small and medium-sized enterprises (SMEs) in Malawi. SCI has increasingly been considered by scholars and practitioners as a core philosophy of supply chain management (SCM). SCI is an important competitiveness strategy that improves different aspects of firm performance. However, there have been several concerns regarding the low levels of adoption of SCI in practice among firms. Further, contemporary research into SCM has predominantly reflected a focal firm viewpoint, especially the perspective of large multinational manufacturers in developed economies. The perspectives of suppliers and retailers as well as of developing country and SME contexts are not adequately reflected in the literature. A review of the literature shows that capturing a wide range of perspectives and contexts across SC positions could improve SCI scholarship and practice. To provide a wide range of perspectives regarding the extent of SCI and its inhibitors within a developing country context, two qualitative studies involving three SCs of manufacturing-based SMEs in Malawi were undertaken. Each SC comprised a focal manufacturer, a key supplier and a major retailer. Utilising the resource-based view, resource dependence and network theoretical frameworks, the first study evaluated the extent of SCI. The second study utilised transaction cost economics and relational view theories to examine the inhibitors and enablers of SCI. Data for both studies were jointly collected through semi-structured face-to-face interviews with managers across the participating SCs. The analysis revealed that interpersonal relationships influenced the level of trust between SC partners and consequently inhibit SCI. Some employees were willing to sabotage the interests of their firms to benefit their personal connections. Further, firms with strategic intra-firm resources were less committed to external integration, deploying their resources as a source of power to dominate and exploit their dependent partners. SCI across multiple tiers was impaired by over-dependence on SC partners, which encouraged exploitation, but enhanced by interdependence between firms, which fostered the pursuit of mutual benefits. The research further identified interpersonal relationships, supplier cost transparency and joint SCM investments as key enablers of SCI. With respect to the inhibitors of SCI, the research found that a lack of external integration affected internal integration by acting as a source of disruption to intra-firm processes and relationships. Further, the research found higher levels of relationship intensity in upstream manufacturer–supplier dyads than in downstream manufacturer–retailer dyads, suggesting it was more difficult to achieve retailer integration than supplier integration. This constrained the ability to achieve multi-tier supplier–manufacturer–retailer integration. The research also revealed that resource and infrastructural deficiencies, intra-firm cross-functional disintegration, a culture of fear and intimidation within and between firms, rampant corruption in sourcing transactions and relational factors such as lack of trust hurt SCI. The research provides evidence of differences in perspectives about SCI across SC positions and makes several contributions. First, it provides new evidence that a lack of external integration, especially regarding information sharing and communication processes, inhibits internal integration. Thus, a basic level of external integration is necessary to avoid disruptions to and maximise the benefits of internal integration. Second, the research extends network theory by showing that the external influences on dyadic relationships reach beyond the interactions of heterogeneous firms in the network to encompass interpersonal interactions across the network, where individuals may potentially prioritise personal connections and sabotage the interests of their firms. Third, the research shows the importance of contextual factors and that managers in developing countries must overcome a unique set of factors to integrate the SCs.
Books on the topic "Multi-Tier Supply Chain"
Grajczyk, Karl J. Multi-tier Supply Chain Visibility in the Automotive Industry: How do automotive OEMs gain transparency and visibility into their global supply chain? LAP Lambert Academic Publishing, 2013.
Find full textBook chapters on the topic "Multi-Tier Supply Chain"
Sawik, Tadeusz. "Selection of Resilient Multi-Tier Supply Portfolio." In Supply Chain Disruption Management, 367–400. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44814-1_13.
Full textAlicke, Knut, Hartmut Graf, and Stefan Putzlocher. "Unternehmensübergreifendes Supply Chain Management realisiert multi-tier collaboration." In Integriertes Supply Chain Management, 471–83. Wiesbaden: Gabler Verlag, 2002. http://dx.doi.org/10.1007/978-3-663-10380-6_25.
Full textAlicke, Knut, Hartmut Graf, and Stefan Putzlocher. "Unternehmensübergreifendes Supply Chain Management realisiert multi-tier collaboration." In Integriertes Supply Chain Management, 485–97. Wiesbaden: Gabler Verlag, 2004. http://dx.doi.org/10.1007/978-3-663-10381-3_25.
Full textSawik, Tadeusz. "Selection of Resilient Multi-Tier Supply Portfolio: A Two-Period Approach." In Supply Chain Disruption Management, 401–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44814-1_14.
Full textGong, Yu, and Shenghao Xie. "Multi-tier Sustainable Supply Chain Management and Blockchain Technology Solutions." In The Palgrave Handbook of Supply Chain Management, 1035–62. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-19884-7_54.
Full textGong, Yu, and Shenghao Xie. "Multi-tier Sustainable Supply Chain Management and Blockchain Technology Solutions." In The Palgrave Handbook of Supply Chain Management, 1–28. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-89822-9_54-1.
Full textWang, Liyuan, Kai Foerstl, and Friso Zimmermann. "Supply Chain Risk Management in the Automotive Industry: Cross-Functional and Multi-tier Perspectives." In Dynamic and Seamless Integration of Production, Logistics and Traffic, 119–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41097-5_7.
Full textRauch, Erwin, Ali Asghar Bataleblu, Michaela Golser, Asja Emer, and Dominik T. Matt. "Potential of Graph Database Visualization of the Supplier Network to Increase Resilience in Multi-tier Supply Chains." In Advances in Manufacturing IV, 125–39. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56444-4_10.
Full text"Multi-Tier Supply Chain." In Open Process Frameworks. IEEE, 2011. http://dx.doi.org/10.1109/9780471742036.ch3.
Full textChoi, Thomas Y. "Extended Supply Chains." In The Nature of Supply Networks, 103—C6P86. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197673249.003.0006.
Full textConference papers on the topic "Multi-Tier Supply Chain"
Viswanadham, N., and A. Samvedi. "Multi tier supplier selection for a sustainable global supply chain." In 2013 IEEE International Conference on Automation Science and Engineering (CASE 2013). IEEE, 2013. http://dx.doi.org/10.1109/coase.2013.6653927.
Full textMori, Masakatsu, Ryoji Kobayashi, Masaki Samejima, and Norihisa Komoda. "Analysis of risk mitigation by decentralized ordering in multi-tier supply chain." In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE). IEEE, 2014. http://dx.doi.org/10.1109/isie.2014.6864766.
Full textChen, Jingze, and Hongfeng Wang. "A multi-tier supply chain disruption recovery strategy considering the product life cycle." In 2021 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE). IEEE, 2021. http://dx.doi.org/10.1109/rasse53195.2021.9686942.
Full textMiehle, Daniel, Dominic Henze, Andreas Seitz, Andre Luckow, and Bernd Bruegge. "PartChain: A Decentralized Traceability Application for Multi-Tier Supply Chain Networks in the Automotive Industry." In 2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON). IEEE, 2019. http://dx.doi.org/10.1109/dappcon.2019.00027.
Full textChen, S., K. Tai, and Z. Li. "Evaluation of supply chain resilience enhancement with multi-tier supplier selection policy using agent-based modeling." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7797849.
Full textSamejima, Masaki. "A Simulation-Based Process of Consensus Building on Procurement Plan under Disruption Risk in Multi-tier Supply Chain." In 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2016. http://dx.doi.org/10.1109/iiai-aai.2016.132.
Full textMujaj, Yll, Joerg Leukel, and Stefan Kirn. "A Reverse Pricing Model for Multi-Tier Supply Chains." In The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007). IEEE, 2007. http://dx.doi.org/10.1109/cec-eee.2007.14.
Full textReports on the topic "Multi-Tier Supply Chain"
Führ, Martin, Julian Schenten, and Silke Kleihauer. Integrating "Green Chemistry" into the Regulatory Framework of European Chemicals Policy. Sonderforschungsgruppe Institutionenanalyse, July 2019. http://dx.doi.org/10.46850/sofia.9783941627727.
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